Azure Container Service vs Zookeeper: What are the differences?
Azure Container Service: Deploy and manage containers using the tools you choose. Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else; Zookeeper: Because coordinating distributed systems is a Zoo. A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.
Azure Container Service and Zookeeper are primarily classified as "Containers as a Service" and "Open Source Service Discovery" tools respectively.
"Easy to setup, very agnostic" is the top reason why over 3 developers like Azure Container Service, while over 9 developers mention "High performance ,easy to generate node specific config" as the leading cause for choosing Zookeeper.
According to the StackShare community, Zookeeper has a broader approval, being mentioned in 116 company stacks & 48 developers stacks; compared to Azure Container Service, which is listed in 8 company stacks and 7 developer stacks.
What is Azure Container Service?
What is Zookeeper?
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What are the cons of using Azure Container Service?
What are the cons of using Zookeeper?
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Initially, Stitch only supported real-time updates and addressed this problem with a MapReduce job named The Restorator that performed the following actions:
- Calculated the expected totals
- Queried Cassandra to get the values it had for each counter
- Calculated the increments needed to apply to fix the counters
- Applied the increments
Meanwhile, to stop the sand shifting under its feet, The Restorator needed to coordinate a locking system between itself and the real-time processors, so that the processors did not try to simultaneously apply increments to the same counter, resulting in a race-condition. It used ZooKeeper for this.
Like many large scale web sites, Pinterest’s infrastructure consists of servers that communicate with backend services composed of a number of individual servers for managing load and fault tolerance. Ideally, we’d like the configuration to reflect only the active hosts, so clients don’t need to deal with bad hosts as often. ZooKeeper provides a well known pattern to solve this problem.
Zookeeper manages our state, and tells each node what version of code it should be running.
Used Zookeeper as the resource management system for Mesos/Marathon services.